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Ai Data Specialist Jobs (NOW HIRING)

They are seeking an AI / Data Specialist to provide analysis and implementation for Call Center Modernization using AI technologies to enhance customer interactions and optimize costs.

We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global ... Reviewing data and identifying whether or not a product feature works as intended based on the ...

$70 - $90/hr

Your mission & challenges As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and ...

Ai Data Collector

Philadelphia, PA · On-site

$21 - $22/hr

About the Opportunity Interested in AI, robotics, technology, or photography? We're hiring AI Data Collection Specialists to help support the development of next-generation artificial intelligence ...

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How much do ai data specialist jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for ai data specialist in the United States is $32.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $39.42 per hour, depending on experience, location, and employer.

What is an AI data specialist?

AI Data Specialists are professionals who collect, organize, label, and analyze data that is used to train artificial intelligence systems. They ensure that data sets are accurate, clean, and properly formatted for use in machine learning models. Their work is essential for improving the performance and reliability of AI solutions across industries. AI Data Specialists often collaborate with data scientists, machine learning engineers, and software developers to support AI projects.

What are the key skills and qualifications needed to thrive as an AI data specialist?

To thrive as an AI Data Specialist, you need a solid background in data analysis, programming (such as Python or R), and a relevant degree in computer science, statistics, or a related field. Familiarity with machine learning frameworks, cloud platforms, and data management tools like SQL, TensorFlow, or AWS is typically required. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These competencies are crucial for ensuring data quality, building robust AI models, and translating complex findings into actionable business insights.

What are some common challenges faced by AI data specialists when preparing datasets for machine learning models?

AI Data Specialists often encounter challenges such as ensuring data quality, handling missing or inconsistent data, and managing large and complex datasets. They must also address biases within the data to avoid skewed model results. Collaboration with data engineers, domain experts, and machine learning teams is key to overcoming these challenges, ensuring that datasets are both accurate and representative for effective model training.

What do you need to be an AI Data Specialist?

To become an AI Data Specialist, you typically need a strong background in data analysis, programming skills in languages like Python or R, and knowledge of machine learning concepts. Experience with data management tools, databases, and data cleaning is also important, along with a bachelor's degree in computer science, data science, or a related field.
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Infographic showing various Ai Data Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.

AI / Data Specialist

Alpharetta, GA • On-site

CirrusLabs
IT Services • 11 - 50 employees

Full-time

Re-posted 11 hours ago


Job description

Job Summary:
CirrusLabs is a niche digital transformation company focused on innovation and customer value. They are seeking an AI / Data Specialist to provide analysis and implementation for Call Center Modernization using AI technologies to enhance customer interactions and optimize costs.
Responsibilities:
• Set up Speech to Text transcription using one of the products (Azure OpenAI or Lex or RingCentral native). Setup Rouge or Bleu metrics
• Setup AI Tools and build data pipeline
• Using one of the ETL tools, capability to perform data cleansing, transformation, enrichment etc.
• Use GenAI to summarize call center metrics and report against KPIs. Perform Sentiment Analysis
• Tune GenAI to optimize Rouge or Bleu score
• Implement ReACT framework for recommendations
• Prepare and present demos to client
Qualifications:
Required:
• Bachelor's or Master's degree in Data Science, Statistics, or related field.
• Expertise on GenAI and LLMs (OpenAI, Llama, BART etc.)
• Capability for Fine tuning and prompt tuning
• Knowlegde of Prompt Engineering
• Good experience in Cloud platforms
• Expertise on ETL tool, Rouge and Bleu metrics, LangChain
• Knowledge of Vector Databases (ChromaDB or equivalent)
• Lex/Polly or equivalent expertise
• Ability to work collaboratively in a fast-paced, team-oriented environment.
• Strong communication skills to interact with cross-functional teams and gather user feedback.
Company:
CirrusLabs is an IT company provides agile software delivery, automation, cloud Services, and IoT. Founded in 2005, the company is headquartered in Alpharetta, USA, with a team of 201-500 employees. The company is currently Growth Stage.